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» Sparse orthonormal transforms for image compression
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ICIP
2000
IEEE
14 years 9 months ago
Image Compression with Geometrical Wavelets
We introduce a sparse image representation that takes advantage of the geometrical regularity of edges in images. A new class of one-dimensional wavelet orthonormal bases, called ...
Erwan Le Pennec, Stéphane Mallat
ICIP
2010
IEEE
13 years 5 months ago
A sparsity-distortion-optimized multiscale representation of geometry
This paper describes the construction of a new multiresolutional decomposition with applications to image compression. The proposed method designs sparsity-distortion-optimized or...
Osman Gokhan Sezer, Yucel Altunbasak, Onur G. Gule...
IDA
2009
Springer
14 years 2 months ago
Image Coding and Compression with Sparse 3D Discrete Cosine Transform
In this paper, an algorithm for image coding based on a sparse 3-dimensional Discrete Cosine Transform (3D DCT) is studied. The algorithm is essentially a method for achieving a su...
Hamid Palangi, Aboozar Ghafari, Massoud Babaie-Zad...
ICIP
2004
IEEE
14 years 9 months ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma
CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 3 months ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma